基于面向对象的TM_LBV变换水体信息提取

doi:10.7523/j.issn.2095-6134.2012.6.008

中国科学院大学学报 ›› 2012, Vol. ›› Issue (6): 775-779.DOI: 10.7523/j.issn.2095-6134.2012.6.008

基于面向对象的TM_LBV变换水体信息提取

周文鑫, 何隆华, 马荣华, 刘桂林, 苑惠丽

中国科学院南京地理与湖泊研究所, 南京 210008

收稿日期:2011-11-09 修回日期:2012-01-04 发布日期:2012-11-15
通讯作者: 何隆华
基金资助:
中国科学院战略性先导科技专项(XDA05050106)资助

Extraction of water information based on LBV transformation of TM image using the object-oriented method

ZHOU Wen-Xin, HE Long-Hua, MA Rong-Hua, LIU Gui-Lin, YUAN Hui-Li

Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing 210008, China

Received:2011-11-09 Revised:2012-01-04 Published:2012-11-15

摘要/Abstract

摘要： 以南京市为研究区,基于面向对象的分类方法,对TM影像进行LBV变换,选择B分量阈值进行水体信息提取. 结果表明,水体信息提取精度为94.6%. 与基于像元的B分量阈值法和基于像元及面向对象的改进的归一化水体指数(MNDWI)阈值法相比,该方法提取水体信息快速准确,不但消除了山体阴影和城市建筑物的影响,还减少了分类"椒盐现象". 该方法简单易行,适用于水体信息的自动提取.

关键词: LBV变换, 面向对象, 多尺度分割, 水体提取, MNDWI

Abstract: Taking the Nanjing city as the research area, we transform the TM image with the LBV way to extract the water information based on object-oriented classification method. The experiment results show that the extraction accuracy of water information reaches 94.6%. This method not only removes the influence of the mountain shadow and city buildings, but also reduces the salt-phenomenon. This method is simple and has practical value. It is suitable for automatic extraction of water information.

Key words: LBV transformation, object-oriented method, multi-segmentation, extraction of water, MNDWI

中图分类号:

TP79

周文鑫, 何隆华, 马荣华, 刘桂林, 苑惠丽. 基于面向对象的TM_LBV变换水体信息提取[J]. 中国科学院大学学报, 2012, (6): 775-779.

ZHOU Wen-Xin, HE Long-Hua, MA Rong-Hua, LIU Gui-Lin, YUAN Hui-Li. Extraction of water information based on LBV transformation of TM image using the object-oriented method[J]. , 2012, (6): 775-779.

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基于面向对象的TM_LBV变换水体信息提取

Extraction of water information based on LBV transformation of TM image using the object-oriented method

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